MinghuiChen43 / awesome-trustworthy-deep-learning
A curated list of trustworthy deep learning papers. Daily updating...
☆366Updated 2 weeks ago
Alternatives and similar repositories for awesome-trustworthy-deep-learning
Users that are interested in awesome-trustworthy-deep-learning are comparing it to the libraries listed below
Sorting:
- Existing Literature about Machine Unlearning☆856Updated last month
- Awesome Machine Unlearning (A Survey of Machine Unlearning)☆826Updated this week
- ☆188Updated last year
- A resource repository for machine unlearning in large language models☆397Updated last month
- ☆330Updated 2 months ago
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆323Updated last week
- A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.☆300Updated last week
- [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"☆175Updated last week
- ☆137Updated last month
- ☆56Updated 4 years ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆67Updated last year
- Methods for removing learned data from neural nets and evaluation of those methods☆37Updated 4 years ago
- Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models☆748Updated last week
- A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)☆255Updated 4 months ago
- A curated list of papers & resources on backdoor attacks and defenses in deep learning.☆202Updated last year
- ☆44Updated 9 months ago
- Awesome coreset/core-set/subset/sample selection works.☆175Updated 10 months ago
- Related papers for robust machine learning☆568Updated last year
- Code related to the paper "Machine Unlearning of Features and Labels"☆69Updated last year
- A one-stop repository for large language model (LLM) unlearning. Supports TOFU, MUSE and is an easily extensible framework for new datase…☆245Updated 3 weeks ago
- A curated list of papers and resources about the distribution shift in machine learning.☆118Updated last year
- A curated list of trustworthy Generative AI papers. Daily updating...☆71Updated 8 months ago
- Papers and online resources related to machine learning fairness☆72Updated 2 years ago
- Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.☆384Updated this week
- Awesome Federated Unlearning (FU) Papers (Continually Update)☆90Updated last year
- Official repo of the paper Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks using an Incompetent Teacher accepted in AAAI …☆37Updated last year
- A curated list of academic events on AI Security & Privacy☆150Updated 8 months ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆210Updated 2 years ago
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆706Updated last month
- Dataset Condensation (ICLR21 and ICML21)☆509Updated last year